Overview

Brought to you by YData

Dataset statistics

Number of variables20
Number of observations609
Missing cells0
Missing cells (%)0.0%
Duplicate rows39
Duplicate rows (%)6.4%
Total size in memory95.3 KiB
Average record size in memory160.2 B

Variable types

Numeric20

Alerts

Dataset has 39 (6.4%) duplicate rowsDuplicates
Alpha_AF7 is highly overall correlated with Beta_AF7 and 3 other fieldsHigh correlation
Alpha_AF8 is highly overall correlated with Beta_AF8 and 3 other fieldsHigh correlation
Alpha_TP10 is highly overall correlated with Beta_TP10 and 3 other fieldsHigh correlation
Alpha_TP9 is highly overall correlated with Beta_TP9 and 3 other fieldsHigh correlation
Beta_AF7 is highly overall correlated with Alpha_AF7 and 3 other fieldsHigh correlation
Beta_AF8 is highly overall correlated with Alpha_AF8 and 4 other fieldsHigh correlation
Beta_TP10 is highly overall correlated with Alpha_TP10 and 3 other fieldsHigh correlation
Beta_TP9 is highly overall correlated with Alpha_TP9 and 3 other fieldsHigh correlation
Delta_AF7 is highly overall correlated with Alpha_AF7 and 3 other fieldsHigh correlation
Delta_AF8 is highly overall correlated with Alpha_AF8 and 4 other fieldsHigh correlation
Delta_TP10 is highly overall correlated with Alpha_TP10 and 7 other fieldsHigh correlation
Delta_TP9 is highly overall correlated with Alpha_TP9 and 3 other fieldsHigh correlation
Gamma_AF7 is highly overall correlated with Alpha_AF7 and 3 other fieldsHigh correlation
Gamma_AF8 is highly overall correlated with Alpha_AF8 and 4 other fieldsHigh correlation
Gamma_TP10 is highly overall correlated with Alpha_TP10 and 3 other fieldsHigh correlation
Gamma_TP9 is highly overall correlated with Alpha_TP9 and 3 other fieldsHigh correlation
Theta_AF7 is highly overall correlated with Alpha_AF7 and 3 other fieldsHigh correlation
Theta_AF8 is highly overall correlated with Alpha_AF8 and 4 other fieldsHigh correlation
Theta_TP10 is highly overall correlated with Alpha_TP10 and 3 other fieldsHigh correlation
Theta_TP9 is highly overall correlated with Alpha_TP9 and 3 other fieldsHigh correlation

Reproduction

Analysis started2024-10-03 22:05:27.645858
Analysis finished2024-10-03 22:06:04.992302
Duration37.35 seconds
Software versionydata-profiling vv4.10.0
Download configurationconfig.json

Variables

Delta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9450327
Minimum3.0248973
Maximum4.3226614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:05.102082image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum3.0248973
5-th percentile3.289235
Q13.8645072
median4.054837
Q34.2133737
95-th percentile4.318765
Maximum4.3226614
Range1.2977641
Interquartile range (IQR)0.3488665

Descriptive statistics

Standard deviation0.34454504
Coefficient of variation (CV)0.087336421
Kurtosis0.39939345
Mean3.9450327
Median Absolute Deviation (MAD)0.178038
Skewness-1.1496366
Sum2402.5249
Variance0.11871128
MonotonicityNot monotonic
2024-10-03T18:06:05.237299image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3.0248973 25
 
4.1%
3.9184654 25
 
4.1%
4.178935 25
 
4.1%
3.8645072 25
 
4.1%
4.035041 25
 
4.1%
4.2133737 25
 
4.1%
3.5210357 25
 
4.1%
3.9755692 25
 
4.1%
4.318765 24
 
3.9%
4.0653157 24
 
3.9%
Other values (19) 361
59.3%
ValueCountFrequency (%)
3.0248973 25
4.1%
3.289235 24
3.9%
3.4077795 24
3.9%
3.4284253 23
3.8%
3.5210357 25
4.1%
3.7658365 24
3.9%
3.8645072 25
4.1%
3.8687901 1
 
0.2%
3.9184654 25
4.1%
3.945011 23
3.8%
ValueCountFrequency (%)
4.3226614 24
3.9%
4.318765 24
3.9%
4.2860274 7
 
1.1%
4.2659025 18
3.0%
4.2577496 24
3.9%
4.245225 24
3.9%
4.232875 24
3.9%
4.2133737 25
4.1%
4.18083 24
3.9%
4.178935 25
4.1%

Delta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0521477
Minimum1.1549258
Maximum4.0167575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:05.359432image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.1549258
5-th percentile1.3966272
Q12.8230093
median3.2865694
Q33.5768561
95-th percentile3.9484153
Maximum4.0167575
Range2.8618317
Interquartile range (IQR)0.7538468

Descriptive statistics

Standard deviation0.72159601
Coefficient of variation (CV)0.23642238
Kurtosis0.55366912
Mean3.0521477
Median Absolute Deviation (MAD)0.2988762
Skewness-1.1259176
Sum1858.7579
Variance0.5207008
MonotonicityNot monotonic
2024-10-03T18:06:05.472705image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2.1199672 25
 
4.1%
3.5768561 25
 
4.1%
3.389782 25
 
4.1%
2.0524046 25
 
4.1%
3.0489311 24
 
3.9%
3.389176 24
 
3.9%
2.8230093 24
 
3.9%
3.5854456 24
 
3.9%
3.7079504 24
 
3.9%
3.9484153 24
 
3.9%
Other values (29) 365
59.9%
ValueCountFrequency (%)
1.1549258 21
3.4%
1.2863451 3
 
0.5%
1.3761662 7
 
1.1%
1.4273187 17
2.8%
2.0524046 25
4.1%
2.1199672 25
4.1%
2.1664517 4
 
0.7%
2.2633617 21
3.4%
2.7112274 23
3.8%
2.8230093 24
3.9%
ValueCountFrequency (%)
4.0167575 21
3.4%
3.9484153 24
3.9%
3.8280437 5
 
0.8%
3.7721426 3
 
0.5%
3.7495363 19
3.1%
3.7079504 24
3.9%
3.5854456 24
3.9%
3.580471 9
 
1.5%
3.5768561 25
4.1%
3.568545 3
 
0.5%

Delta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7582358
Minimum2.184025
Maximum3.2732818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:05.580998image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum2.184025
5-th percentile2.3444667
Q12.5762386
median2.8172715
Q32.9283004
95-th percentile3.223657
Maximum3.2732818
Range1.0892568
Interquartile range (IQR)0.3520618

Descriptive statistics

Standard deviation0.2804446
Coefficient of variation (CV)0.10167535
Kurtosis-0.68345029
Mean2.7582358
Median Absolute Deviation (MAD)0.2222607
Skewness-0.13068501
Sum1679.7656
Variance0.078649176
MonotonicityNot monotonic
2024-10-03T18:06:05.674530image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2.8172715 49
 
8.0%
2.3444667 48
 
7.9%
2.955777 25
 
4.1%
2.5645056 25
 
4.1%
3.223657 25
 
4.1%
2.653797 25
 
4.1%
2.370221 25
 
4.1%
3.163135 25
 
4.1%
2.9165168 25
 
4.1%
2.9283004 25
 
4.1%
Other values (15) 312
51.2%
ValueCountFrequency (%)
2.184025 24
3.9%
2.3444667 48
7.9%
2.370221 25
4.1%
2.4736066 24
3.9%
2.5645056 25
4.1%
2.5762386 24
3.9%
2.5818954 24
3.9%
2.5950108 23
3.8%
2.6419635 7
 
1.1%
2.653797 25
4.1%
ValueCountFrequency (%)
3.2732818 24
3.9%
3.223657 25
4.1%
3.163135 25
4.1%
3.0432951 24
3.9%
2.973872 24
3.9%
2.955777 25
4.1%
2.9283004 25
4.1%
2.9165168 25
4.1%
2.9081392 24
3.9%
2.8684278 24
3.9%

Delta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9151463
Minimum2.7113588
Maximum4.420887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:05.769352image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum2.7113588
5-th percentile3.118897
Q13.8781438
median4.0362782
Q34.1574845
95-th percentile4.2895756
Maximum4.420887
Range1.7095282
Interquartile range (IQR)0.2793407

Descriptive statistics

Standard deviation0.38370246
Coefficient of variation (CV)0.09800463
Kurtosis2.1295042
Mean3.9151463
Median Absolute Deviation (MAD)0.1235358
Skewness-1.5589051
Sum2384.3241
Variance0.14722758
MonotonicityNot monotonic
2024-10-03T18:06:05.886401image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4.1574845 25
 
4.1%
4.015107 25
 
4.1%
3.3071427 25
 
4.1%
4.0458155 25
 
4.1%
3.929727 25
 
4.1%
4.2895756 25
 
4.1%
4.162198 25
 
4.1%
4.0795536 25
 
4.1%
3.656497 25
 
4.1%
4.0362782 25
 
4.1%
Other values (19) 359
58.9%
ValueCountFrequency (%)
2.7113588 24
3.9%
3.118897 24
3.9%
3.3071427 25
4.1%
3.591382 24
3.9%
3.618061 24
3.9%
3.656497 25
4.1%
3.8781438 24
3.9%
3.929727 25
4.1%
3.9434812 23
3.8%
3.9521637 24
3.9%
ValueCountFrequency (%)
4.420887 24
3.9%
4.3380017 5
 
0.8%
4.2895756 25
4.1%
4.2422004 21
3.4%
4.241538 19
3.1%
4.192622 3
 
0.5%
4.1822104 7
 
1.1%
4.162198 25
4.1%
4.159814 17
2.8%
4.1574845 25
4.1%

Theta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9825675
Minimum1.981285
Maximum3.3868556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:06.021665image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.981285
5-th percentile2.3579154
Q12.8584862
median3.085195
Q33.2046795
95-th percentile3.359731
Maximum3.3868556
Range1.4055706
Interquartile range (IQR)0.3461933

Descriptive statistics

Standard deviation0.35979623
Coefficient of variation (CV)0.12063306
Kurtosis0.55951832
Mean2.9825675
Median Absolute Deviation (MAD)0.1659244
Skewness-1.1668023
Sum1816.3836
Variance0.12945333
MonotonicityNot monotonic
2024-10-03T18:06:06.148742image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1.981285 25
 
4.1%
3.201639 25
 
4.1%
3.1808772 25
 
4.1%
2.8584862 25
 
4.1%
3.1190517 25
 
4.1%
3.3868556 25
 
4.1%
2.579057 25
 
4.1%
2.9655294 25
 
4.1%
3.3418577 24
 
3.9%
3.0683792 24
 
3.9%
Other values (19) 361
59.3%
ValueCountFrequency (%)
1.981285 25
4.1%
2.3579154 24
3.9%
2.4247894 24
3.9%
2.4819963 23
3.8%
2.579057 25
4.1%
2.6558902 24
3.9%
2.8584862 25
4.1%
2.911502 1
 
0.2%
2.9655294 25
4.1%
2.9840138 23
3.8%
ValueCountFrequency (%)
3.3868556 25
4.1%
3.359731 24
3.9%
3.3418577 24
3.9%
3.3339572 7
 
1.1%
3.326479 24
3.9%
3.3189151 18
3.0%
3.2511194 24
3.9%
3.2046795 24
3.9%
3.201639 25
4.1%
3.1896458 24
3.9%

Theta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5853307
Minimum0.6435607
Maximum3.3629618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:06.344641image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.6435607
5-th percentile1.1510141
Q12.2672465
median2.7057798
Q33.1017096
95-th percentile3.3258283
Maximum3.3629618
Range2.7194011
Interquartile range (IQR)0.8344631

Descriptive statistics

Standard deviation0.65644006
Coefficient of variation (CV)0.25390951
Kurtosis1.2311885
Mean2.5853307
Median Absolute Deviation (MAD)0.4369271
Skewness-1.1578964
Sum1574.4664
Variance0.43091355
MonotonicityNot monotonic
2024-10-03T18:06:06.490042image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1.9824301 25
 
4.1%
3.1017096 25
 
4.1%
2.7057798 25
 
4.1%
1.976198 25
 
4.1%
2.4476595 24
 
3.9%
2.4681377 24
 
3.9%
2.167148 24
 
3.9%
3.2386236 24
 
3.9%
3.3258283 24
 
3.9%
3.3629618 24
 
3.9%
Other values (29) 365
59.9%
ValueCountFrequency (%)
0.6435607 21
3.4%
0.79546595 3
 
0.5%
1.1305531 7
 
1.1%
1.1817056 17
2.8%
1.976198 25
4.1%
1.9824301 25
4.1%
2.0458856 4
 
0.7%
2.1427956 21
3.4%
2.167148 24
3.9%
2.191861 2
 
0.3%
ValueCountFrequency (%)
3.3629618 24
3.9%
3.358796 5
 
0.8%
3.3258283 24
3.9%
3.2853787 22
3.6%
3.2805486 19
3.1%
3.2715201 3
 
0.5%
3.2386236 24
3.9%
3.1333437 23
3.8%
3.1118033 1
 
0.2%
3.1017096 25
4.1%

Theta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8295436
Minimum1.4434868
Maximum2.3070495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:06.598241image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.4434868
5-th percentile1.4555243
Q11.630188
median1.8385032
Q31.9840553
95-th percentile2.1856685
Maximum2.3070495
Range0.8635627
Interquartile range (IQR)0.3538673

Descriptive statistics

Standard deviation0.24135976
Coefficient of variation (CV)0.13192348
Kurtosis-0.87893415
Mean1.8295436
Median Absolute Deviation (MAD)0.1685952
Skewness-0.026503411
Sum1114.1921
Variance0.058254535
MonotonicityNot monotonic
2024-10-03T18:06:06.705898image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.8986846 49
 
8.0%
1.4555243 48
 
7.9%
1.9840553 25
 
4.1%
1.5494623 25
 
4.1%
2.1856685 25
 
4.1%
1.6876283 25
 
4.1%
1.5505179 25
 
4.1%
2.3070495 25
 
4.1%
1.9702858 25
 
4.1%
2.0070984 25
 
4.1%
Other values (15) 312
51.2%
ValueCountFrequency (%)
1.4434868 24
3.9%
1.4555243 48
7.9%
1.5025805 24
3.9%
1.5494623 25
4.1%
1.5505179 25
4.1%
1.630188 24
3.9%
1.6876283 25
4.1%
1.7541758 7
 
1.1%
1.7665628 24
3.9%
1.7838116 23
3.8%
ValueCountFrequency (%)
2.3070495 25
4.1%
2.1856685 25
4.1%
2.1730304 24
3.9%
2.1013398 24
3.9%
2.0327263 24
3.9%
2.0070984 25
4.1%
1.9840553 25
4.1%
1.9702858 25
4.1%
1.9482441 24
3.9%
1.8986846 49
8.0%

Theta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9590052
Minimum1.7450726
Maximum3.483235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:06.809793image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.7450726
5-th percentile2.1994884
Q12.8827944
median3.0996761
Q33.1839314
95-th percentile3.4239304
Maximum3.483235
Range1.7381624
Interquartile range (IQR)0.301137

Descriptive statistics

Standard deviation0.39614388
Coefficient of variation (CV)0.13387739
Kurtosis1.7010928
Mean2.9590052
Median Absolute Deviation (MAD)0.1235125
Skewness-1.3994008
Sum1802.0342
Variance0.15692998
MonotonicityNot monotonic
2024-10-03T18:06:06.984586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3.168205 25
 
4.1%
2.969721 25
 
4.1%
2.3047998 25
 
4.1%
2.9884794 25
 
4.1%
2.9902074 25
 
4.1%
3.21201 25
 
4.1%
3.163076 25
 
4.1%
3.1169894 25
 
4.1%
2.6863685 25
 
4.1%
3.125274 25
 
4.1%
Other values (19) 359
58.9%
ValueCountFrequency (%)
1.7450726 24
3.9%
2.1994884 24
3.9%
2.3047998 25
4.1%
2.5713816 24
3.9%
2.6512258 24
3.9%
2.6863685 25
4.1%
2.8827944 24
3.9%
2.969721 25
4.1%
2.9766612 23
3.8%
2.9884794 25
4.1%
ValueCountFrequency (%)
3.483235 24
3.9%
3.4239304 24
3.9%
3.3673368 24
3.9%
3.3644783 5
 
0.8%
3.2687972 19
3.1%
3.2231886 21
3.4%
3.21201 25
4.1%
3.1839314 24
3.9%
3.1748745 3
 
0.5%
3.168205 25
4.1%

Alpha_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9680881
Minimum2.014555
Maximum3.5350745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:07.113868image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum2.014555
5-th percentile2.394347
Q12.927328
median3.0306973
Q33.0734344
95-th percentile3.5134625
Maximum3.5350745
Range1.5205195
Interquartile range (IQR)0.1461064

Descriptive statistics

Standard deviation0.33381761
Coefficient of variation (CV)0.1124689
Kurtosis1.1433549
Mean2.9680881
Median Absolute Deviation (MAD)0.1033693
Skewness-0.88225558
Sum1807.5656
Variance0.11143419
MonotonicityNot monotonic
2024-10-03T18:06:07.234444image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2.014555 25
 
4.1%
3.5134625 25
 
4.1%
2.978662 25
 
4.1%
2.7107935 25
 
4.1%
2.9442549 25
 
4.1%
3.045164 25
 
4.1%
3.5350745 25
 
4.1%
3.0306973 25
 
4.1%
3.0690916 25
 
4.1%
2.394347 24
 
3.9%
Other values (16) 360
59.1%
ValueCountFrequency (%)
2.014555 25
4.1%
2.394347 24
3.9%
2.4747486 24
3.9%
2.561351 23
3.8%
2.7107935 25
4.1%
2.79552 24
3.9%
2.927328 24
3.9%
2.9442549 25
4.1%
2.9487004 24
3.9%
2.9721663 24
3.9%
ValueCountFrequency (%)
3.5350745 25
4.1%
3.5134625 25
4.1%
3.3238776 24
3.9%
3.3094368 24
3.9%
3.2030778 24
3.9%
3.1768756 24
3.9%
3.0734344 24
3.9%
3.0710168 7
 
1.1%
3.0690916 25
4.1%
3.066669 24
3.9%

Alpha_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8966993
Minimum1.4316285
Maximum3.574301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:07.354258image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.4316285
5-th percentile1.9635876
Q12.668465
median2.8206213
Q33.468721
95-th percentile3.5628967
Maximum3.574301
Range2.1426725
Interquartile range (IQR)0.800256

Descriptive statistics

Standard deviation0.54401362
Coefficient of variation (CV)0.18780466
Kurtosis0.14902207
Mean2.8966993
Median Absolute Deviation (MAD)0.4361901
Skewness-0.63999057
Sum1764.0899
Variance0.29595081
MonotonicityNot monotonic
2024-10-03T18:06:07.447611image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.8301785 25
 
4.1%
2.7241688 25
 
4.1%
2.6362 25
 
4.1%
3.5510938 25
 
4.1%
3.513027 25
 
4.1%
2.362315 25
 
4.1%
2.578039 25
 
4.1%
3.4864283 25
 
4.1%
2.685354 24
 
3.9%
3.5528173 24
 
3.9%
Other values (20) 361
59.3%
ValueCountFrequency (%)
1.4316285 21
3.4%
1.4491588 3
 
0.5%
1.9635876 24
3.9%
2.1934528 24
3.9%
2.2253 3
 
0.5%
2.362315 25
4.1%
2.578039 25
4.1%
2.6362 25
4.1%
2.668465 18
3.0%
2.6733236 7
 
1.1%
ValueCountFrequency (%)
3.574301 24
3.9%
3.5628967 24
3.9%
3.5528173 24
3.9%
3.5510938 25
4.1%
3.513027 25
4.1%
3.4864283 25
4.1%
3.468721 24
3.9%
3.3701096 24
3.9%
3.2568114 22
3.6%
3.2182863 1
 
0.2%

Alpha_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9427065
Minimum1.5751854
Maximum2.5067449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:07.532753image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.5751854
5-th percentile1.5848264
Q11.7923373
median1.8901596
Q32.1339223
95-th percentile2.3183064
Maximum2.5067449
Range0.9315595
Interquartile range (IQR)0.341585

Descriptive statistics

Standard deviation0.25191815
Coefficient of variation (CV)0.12967381
Kurtosis-0.68494136
Mean1.9427065
Median Absolute Deviation (MAD)0.2226546
Skewness0.28194517
Sum1183.1083
Variance0.063462756
MonotonicityNot monotonic
2024-10-03T18:06:07.618775image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1.8583043 49
 
8.0%
1.5848264 48
 
7.9%
1.5943115 25
 
4.1%
1.8595144 25
 
4.1%
1.7923373 25
 
4.1%
2.3054712 25
 
4.1%
1.8901596 25
 
4.1%
2.5067449 25
 
4.1%
2.1339223 25
 
4.1%
1.9842362 25
 
4.1%
Other values (13) 312
51.2%
ValueCountFrequency (%)
1.5751854 24
3.9%
1.5848264 48
7.9%
1.5943115 25
4.1%
1.6231698 23
3.8%
1.7471126 24
3.9%
1.7923373 25
4.1%
1.7982993 24
3.9%
1.8556837 24
3.9%
1.8583043 49
8.0%
1.8595144 25
4.1%
ValueCountFrequency (%)
2.5067449 25
4.1%
2.3183064 24
3.9%
2.3054712 25
4.1%
2.2059727 24
3.9%
2.17453 25
4.1%
2.1701472 24
3.9%
2.1339223 25
4.1%
2.1128142 24
3.9%
2.0643282 24
3.9%
2.0198574 24
3.9%

Alpha_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9728124
Minimum2.0181546
Maximum3.5625525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:07.701267image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum2.0181546
5-th percentile2.3043144
Q12.9992497
median3.038012
Q33.1545515
95-th percentile3.4919124
Maximum3.5625525
Range1.5443979
Interquartile range (IQR)0.1553018

Descriptive statistics

Standard deviation0.33110968
Coefficient of variation (CV)0.11137927
Kurtosis1.5904533
Mean2.9728124
Median Absolute Deviation (MAD)0.1165395
Skewness-1.1543692
Sum1810.4428
Variance0.10963362
MonotonicityNot monotonic
2024-10-03T18:06:07.817352image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.038012 25
 
4.1%
3.1828043 25
 
4.1%
2.3674326 25
 
4.1%
3.160554 25
 
4.1%
3.0017002 25
 
4.1%
2.8665955 25
 
4.1%
3.0052826 25
 
4.1%
3.0618248 25
 
4.1%
2.9992497 25
 
4.1%
3.0377967 25
 
4.1%
Other values (15) 359
58.9%
ValueCountFrequency (%)
2.0181546 24
3.9%
2.3043144 24
3.9%
2.3674326 25
4.1%
2.6216528 24
3.9%
2.8111017 24
3.9%
2.8665955 25
4.1%
2.9992497 25
4.1%
3.0017002 25
4.1%
3.0052826 25
4.1%
3.0068116 24
3.9%
ValueCountFrequency (%)
3.5625525 24
3.9%
3.4919124 24
3.9%
3.1860793 24
3.9%
3.1828043 25
4.1%
3.1801765 24
3.9%
3.160554 25
4.1%
3.1545515 24
3.9%
3.075576 24
3.9%
3.07473 24
3.9%
3.0618248 25
4.1%

Beta_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4869087
Minimum1.503658
Maximum2.9554195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:07.963526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.503658
5-th percentile1.8523831
Q12.344022
median2.5814588
Q32.734327
95-th percentile2.8779514
Maximum2.9554195
Range1.4517615
Interquartile range (IQR)0.390305

Descriptive statistics

Standard deviation0.35410804
Coefficient of variation (CV)0.14238884
Kurtosis0.5801687
Mean2.4869087
Median Absolute Deviation (MAD)0.1576977
Skewness-1.1175157
Sum1514.5274
Variance0.12539251
MonotonicityNot monotonic
2024-10-03T18:06:08.408803image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1.503658 25
 
4.1%
2.6709375 25
 
4.1%
2.6861775 25
 
4.1%
2.344022 25
 
4.1%
2.6134572 25
 
4.1%
2.8779514 25
 
4.1%
2.0884438 25
 
4.1%
2.466528 25
 
4.1%
2.8532486 24
 
3.9%
2.566699 24
 
3.9%
Other values (19) 361
59.3%
ValueCountFrequency (%)
1.503658 25
4.1%
1.8523831 24
3.9%
1.962337 24
3.9%
2.0049968 23
3.8%
2.0884438 25
4.1%
2.211118 24
3.9%
2.344022 25
4.1%
2.3808668 1
 
0.2%
2.4552162 23
3.8%
2.466528 25
4.1%
ValueCountFrequency (%)
2.9554195 24
3.9%
2.8779514 25
4.1%
2.8532486 24
3.9%
2.8274107 7
 
1.1%
2.8079278 18
3.0%
2.778824 24
3.9%
2.7391565 24
3.9%
2.734327 24
3.9%
2.6861775 25
4.1%
2.6781344 24
3.9%

Beta_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0450537
Minimum-0.019408759
Maximum2.8006604
Zeros0
Zeros (%)0.0%
Negative21
Negative (%)3.4%
Memory size4.9 KiB
2024-10-03T18:06:08.826224image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.019408759
5-th percentile0.73350362
Q11.7610475
median2.1523018
Q32.555107
95-th percentile2.7434926
Maximum2.8006604
Range2.8200692
Interquartile range (IQR)0.7940595

Descriptive statistics

Standard deviation0.64840063
Coefficient of variation (CV)0.317058
Kurtosis1.8767783
Mean2.0450537
Median Absolute Deviation (MAD)0.4028052
Skewness-1.3183009
Sum1245.4377
Variance0.42042338
MonotonicityNot monotonic
2024-10-03T18:06:09.073427image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1.4404324 25
 
4.1%
2.555107 25
 
4.1%
2.165165 25
 
4.1%
1.4452856 25
 
4.1%
1.918768 24
 
3.9%
1.96021 24
 
3.9%
1.6216152 24
 
3.9%
2.683458 24
 
3.9%
2.7722182 24
 
3.9%
2.7434926 24
 
3.9%
Other values (29) 365
59.9%
ValueCountFrequency (%)
-0.019408759 21
3.4%
0.27871144 3
 
0.5%
0.7130426 7
 
1.1%
0.76419514 17
2.8%
1.4404324 25
4.1%
1.4452856 25
4.1%
1.5022385 4
 
0.7%
1.5991485 21
3.4%
1.6216152 24
3.9%
1.7413924 3
 
0.5%
ValueCountFrequency (%)
2.8006604 5
 
0.8%
2.7722182 24
3.9%
2.7434926 24
3.9%
2.726836 22
3.6%
2.722985 19
3.1%
2.7167797 3
 
0.5%
2.683458 24
3.9%
2.5791047 23
3.8%
2.555107 25
4.1%
2.5504723 1
 
0.2%

Beta_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4087087
Minimum1.0628778
Maximum1.7648934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:09.336205image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.0628778
5-th percentile1.0902436
Q11.2417239
median1.4274107
Q31.5560576
95-th percentile1.7345109
Maximum1.7648934
Range0.7020156
Interquartile range (IQR)0.3143337

Descriptive statistics

Standard deviation0.19956425
Coefficient of variation (CV)0.14166467
Kurtosis-0.96649157
Mean1.4087087
Median Absolute Deviation (MAD)0.1287234
Skewness-0.087099706
Sum857.9036
Variance0.039825891
MonotonicityNot monotonic
2024-10-03T18:06:09.620084image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.5101594 49
 
8.0%
1.1551822 48
 
7.9%
1.5613253 25
 
4.1%
1.16391 25
 
4.1%
1.6961275 25
 
4.1%
1.3666518 25
 
4.1%
1.1435106 25
 
4.1%
1.7648934 25
 
4.1%
1.5325072 25
 
4.1%
1.5560576 25
 
4.1%
Other values (15) 312
51.2%
ValueCountFrequency (%)
1.0628778 24
3.9%
1.0902436 24
3.9%
1.1435106 25
4.1%
1.1551822 48
7.9%
1.16391 25
4.1%
1.2417239 24
3.9%
1.2993234 7
 
1.1%
1.330396 23
3.8%
1.3449262 24
3.9%
1.3468385 18
 
3.0%
ValueCountFrequency (%)
1.7648934 25
4.1%
1.7345109 24
3.9%
1.6961275 25
4.1%
1.6122599 24
3.9%
1.5613253 25
4.1%
1.5561341 24
3.9%
1.5560576 25
4.1%
1.5325072 25
4.1%
1.5101594 49
8.0%
1.467688 24
3.9%

Beta_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4611369
Minimum1.3972481
Maximum2.9240243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:09.811527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.3972481
5-th percentile1.6901329
Q12.4247549
median2.6087718
Q32.6936276
95-th percentile2.8824048
Maximum2.9240243
Range1.5267762
Interquartile range (IQR)0.2688727

Descriptive statistics

Standard deviation0.3755727
Coefficient of variation (CV)0.1526013
Kurtosis1.0328976
Mean2.4611369
Median Absolute Deviation (MAD)0.1373332
Skewness-1.3287804
Sum1498.8324
Variance0.14105485
MonotonicityNot monotonic
2024-10-03T18:06:10.144244image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2.6508656 25
 
4.1%
2.4816446 25
 
4.1%
1.781263 25
 
4.1%
2.503669 25
 
4.1%
2.4714386 25
 
4.1%
2.7490067 25
 
4.1%
2.684256 25
 
4.1%
2.610812 25
 
4.1%
2.1551456 25
 
4.1%
2.6087718 25
 
4.1%
Other values (19) 359
58.9%
ValueCountFrequency (%)
1.3972481 24
3.9%
1.6901329 24
3.9%
1.781263 25
4.1%
2.0689683 24
3.9%
2.149152 24
3.9%
2.1551456 25
4.1%
2.4247549 24
3.9%
2.4706812 23
3.8%
2.4714386 25
4.1%
2.4816446 25
4.1%
ValueCountFrequency (%)
2.9240243 24
3.9%
2.8824048 24
3.9%
2.8172581 24
3.9%
2.7747939 5
 
0.8%
2.7490067 25
4.1%
2.736912 21
3.4%
2.7006917 7
 
1.1%
2.6936276 24
3.9%
2.6879644 3
 
0.5%
2.684256 25
4.1%

Gamma_TP9
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8980559
Minimum0.92474025
Maximum2.345053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:10.577139image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.92474025
5-th percentile1.278573
Q11.7638024
median1.9903708
Q32.1471446
95-th percentile2.2932918
Maximum2.345053
Range1.4203127
Interquartile range (IQR)0.3833422

Descriptive statistics

Standard deviation0.35502645
Coefficient of variation (CV)0.18704741
Kurtosis0.49758977
Mean1.8980559
Median Absolute Deviation (MAD)0.1759982
Skewness-1.1271723
Sum1155.9161
Variance0.12604378
MonotonicityNot monotonic
2024-10-03T18:06:10.897670image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.92474025 25
 
4.1%
2.1471446 25
 
4.1%
2.0944006 25
 
4.1%
1.7638024 25
 
4.1%
2.0130262 25
 
4.1%
2.345053 25
 
4.1%
1.5168662 25
 
4.1%
1.90633 25
 
4.1%
2.258691 24
 
3.9%
1.9559276 24
 
3.9%
Other values (19) 361
59.3%
ValueCountFrequency (%)
0.92474025 25
4.1%
1.278573 24
3.9%
1.3361206 24
3.9%
1.3707569 23
3.8%
1.5168662 25
4.1%
1.6194633 24
3.9%
1.7638024 25
4.1%
1.8163699 1
 
0.2%
1.889622 23
3.8%
1.90633 25
4.1%
ValueCountFrequency (%)
2.345053 25
4.1%
2.2932918 24
3.9%
2.258691 24
3.9%
2.2433753 7
 
1.1%
2.2229168 18
3.0%
2.171651 24
3.9%
2.166369 24
3.9%
2.1471446 25
4.1%
2.0997422 24
3.9%
2.0966327 24
3.9%

Gamma_AF7
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5194552
Minimum-0.6139677
Maximum2.3213995
Zeros0
Zeros (%)0.0%
Negative24
Negative (%)3.9%
Memory size4.9 KiB
2024-10-03T18:06:11.198646image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.6139677
5-th percentile0.28851265
Q11.1696054
median1.6326605
Q32.028084
95-th percentile2.2591512
Maximum2.3213995
Range2.9353672
Interquartile range (IQR)0.8584786

Descriptive statistics

Standard deviation0.64987382
Coefficient of variation (CV)0.42770187
Kurtosis2.1979
Mean1.5194552
Median Absolute Deviation (MAD)0.4274718
Skewness-1.3304179
Sum925.34819
Variance0.42233598
MonotonicityNot monotonic
2024-10-03T18:06:11.783088image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.97309995 25
 
4.1%
2.0601323 25
 
4.1%
1.6451994 25
 
4.1%
0.9646827 25
 
4.1%
1.4104738 24
 
3.9%
1.3892955 24
 
3.9%
1.1118512 24
 
3.9%
2.2054336 24
 
3.9%
2.292408 24
 
3.9%
2.028084 24
 
3.9%
Other values (29) 365
59.9%
ValueCountFrequency (%)
-0.6139677 21
3.4%
-0.23694319 3
 
0.5%
0.26805165 7
 
1.1%
0.31920415 17
2.8%
0.9646827 25
4.1%
0.97309995 25
4.1%
1.0350045 4
 
0.7%
1.1072619 3
 
0.5%
1.1118512 24
3.9%
1.1245642 2
 
0.3%
ValueCountFrequency (%)
2.3213995 5
 
0.8%
2.292408 24
3.9%
2.2591512 22
3.6%
2.243894 19
3.1%
2.2404401 3
 
0.5%
2.2054336 24
3.9%
2.1055934 23
3.8%
2.086525 1
 
0.2%
2.0601323 25
4.1%
2.028084 24
3.9%

Gamma_AF8
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.84807728
Minimum0.41393498
Maximum1.1609626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:12.247500image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.41393498
5-th percentile0.56634367
Q10.75159687
median0.86274177
Q30.966471
95-th percentile1.1278119
Maximum1.1609626
Range0.74702762
Interquartile range (IQR)0.21487413

Descriptive statistics

Standard deviation0.18267126
Coefficient of variation (CV)0.2153946
Kurtosis-0.39771286
Mean0.84807728
Median Absolute Deviation (MAD)0.1111449
Skewness-0.37783224
Sum516.47906
Variance0.033368791
MonotonicityNot monotonic
2024-10-03T18:06:12.741782image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.928054 49
 
8.0%
0.62483215 48
 
7.9%
1.0044223 25
 
4.1%
0.6839744 25
 
4.1%
1.087295 25
 
4.1%
0.886571 25
 
4.1%
0.6189008 25
 
4.1%
1.1278119 25
 
4.1%
0.966471 25
 
4.1%
0.95611495 25
 
4.1%
Other values (15) 312
51.2%
ValueCountFrequency (%)
0.41393498 24
3.9%
0.56634367 24
3.9%
0.6189008 25
4.1%
0.62483215 48
7.9%
0.6839744 25
4.1%
0.75159687 23
3.8%
0.7696421 24
3.9%
0.784751 24
3.9%
0.790973 7
 
1.1%
0.7956832 18
 
3.0%
ValueCountFrequency (%)
1.1609626 24
3.9%
1.1278119 25
4.1%
1.087295 25
4.1%
1.0524056 24
3.9%
1.0044223 25
4.1%
0.98236257 24
3.9%
0.966471 25
4.1%
0.95611495 25
4.1%
0.928054 49
8.0%
0.924849 24
3.9%

Gamma_TP10
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8786964
Minimum0.7873877
Maximum2.381234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-10-03T18:06:13.065779image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.7873877
5-th percentile1.1284646
Q11.8150902
median1.9996011
Q32.0958095
95-th percentile2.337579
Maximum2.381234
Range1.5938463
Interquartile range (IQR)0.2807193

Descriptive statistics

Standard deviation0.38518509
Coefficient of variation (CV)0.20502786
Kurtosis0.93150577
Mean1.8786964
Median Absolute Deviation (MAD)0.1712979
Skewness-1.1996479
Sum1144.1261
Variance0.14836755
MonotonicityNot monotonic
2024-10-03T18:06:13.356761image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.0493166 25
 
4.1%
1.9821069 25
 
4.1%
1.2031044 25
 
4.1%
1.8180761 25
 
4.1%
2.170899 25
 
4.1%
2.0939488 25
 
4.1%
2.0229986 25
 
4.1%
1.9176995 25
 
4.1%
1.581733 25
 
4.1%
1.4853641 24
 
3.9%
Other values (20) 360
59.1%
ValueCountFrequency (%)
0.7873877 24
3.9%
1.1284646 24
3.9%
1.2031044 25
4.1%
1.4853641 24
3.9%
1.5457113 24
3.9%
1.581733 25
4.1%
1.8150902 24
3.9%
1.8180761 25
4.1%
1.8804604 23
3.8%
1.9 1
 
0.2%
ValueCountFrequency (%)
2.381234 24
3.9%
2.337579 24
3.9%
2.3370535 24
3.9%
2.2303286 5
 
0.8%
2.1818013 21
3.4%
2.170899 25
4.1%
2.1362195 19
3.1%
2.1325336 3
 
0.5%
2.1010568 7
 
1.1%
2.0958095 24
3.9%

Interactions

2024-10-03T18:06:02.598508image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:27.907351image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.449342image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.086007image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.629786image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.150732image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.751289image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.357937image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:40.336461image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:42.948396image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:45.055527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:47.933661image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:50.237563image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.172281image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.528219image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.816031image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.602906image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.064619image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.700264image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.117326image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.670254image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:27.994156image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.525059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.159092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.706846image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.227223image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.821214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.427325image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:40.479192image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:43.022936image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:45.170987image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:48.027020image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:50.343494image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.241923image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.591649image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.008178image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.681210image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.133330image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.766518image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.191138image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.739348image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.070646image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.594613image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.228380image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.780068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.297882image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.888463image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.493985image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:40.620598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:43.106938image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:45.329432image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:48.134378image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:50.436022image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.307724image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.653358image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.071755image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.759691image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.199709image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.855181image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.262291image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.810432image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.149917image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.666229image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.297369image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.851060image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.369587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.099055image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.559592image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:40.746392image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:43.198495image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:45.575646image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:48.229596image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:50.528980image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.378685image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.714832image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.157716image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.838879image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.291962image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.924334image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.336694image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.878778image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.231254image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.746069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.375113image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.929770image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.454210image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.166623image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.691722image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:40.874304image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:43.293417image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:45.824933image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:48.346202image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:50.630358image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.452510image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.779895image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.288936image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.919043image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.374138image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.995624image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.414923image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.948810image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.311831image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.829323image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.447915image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.007802image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.530803image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.246804image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.860050image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:41.069663image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:43.603060image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:46.121051image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:48.452908image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:50.914648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.520640image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.851404image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.413838image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.993994image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.450394image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.070441image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.491651image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.014255image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.382556image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.922004image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.518160image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.079876image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.600616image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.318812image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.955010image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:41.309700image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:43.793640image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:46.246310image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:48.539888image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.006267image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.584481image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.907322image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.518590image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.059408image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.520211image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.136652image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.557606image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.077357image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.450812image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.011001image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.692957image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.148180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.665795image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.396737image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:38.034873image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:41.455025image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:43.938151image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:46.356623image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:48.619722image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.092785image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.643093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.964431image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.597845image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.124042image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.583992image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.195490image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.621807image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.151692image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.528884image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.107706image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.764878image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.227179image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.748076image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.480240image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:38.132233image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:41.572049image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.037289image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:46.583965image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:48.728453image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.178950image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.714719image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.032543image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.681538image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.198625image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.664138image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.265890image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.699755image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.229154image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.606092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.197460image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.840209image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.309441image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.828431image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.564541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:38.230559image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:41.706690image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.126388image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:46.707663image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:48.892559image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.297760image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.784545image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.100648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.768232image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.271860image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.745084image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.333275image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.783280image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.303375image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.678715image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.269219image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.904099image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.378136image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.899309image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.632518image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:38.307288image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:41.805150image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.202778image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:46.851305image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:49.019215image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.377557image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.846297image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.165136image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.839006image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.334673image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.816927image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.397199image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.854799image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.373564image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.750456image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.344354image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.972678image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.448476image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.968078image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.699766image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:38.398485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:41.912437image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.277017image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:46.956767image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:49.166200image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.450092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.907372image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.222393image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.906564image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.398973image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.881001image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.456614image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.922437image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.454244image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.829302image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.425244image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.049342image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.528822image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.050214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.777323image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:38.590353image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:42.038988image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.358588image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:47.063794image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:49.302737image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.532219image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.979090image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.293284image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:55.984887image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.470151image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:58.970978image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.526082image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.001201image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.650860image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.907169image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.504668image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.123869image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.610265image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.182737image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.849823image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:38.889620image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:42.179352image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.437599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:47.147945image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:49.407111image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.619260image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.047333image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.358863image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.056122image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.541093image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.051936image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.591619image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.076914image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.719395image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:28.978153image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.626298image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.191208image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.681813image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.266652image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.917485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:39.057848image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:42.274326image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.509894image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:47.226371image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:49.508271image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.707877image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.115198image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.420980image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.123314image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.608888image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.124556image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.656775image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.146751image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.786287image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.053425image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.701023image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.264594image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.758600image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.349276image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:36.991003image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:39.211824image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:42.364460image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.588989image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:47.339229image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:49.624177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.797211image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.179963image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.484288image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.197116image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.685840image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.205040image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.732667image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.215966image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.858201image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.136104image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.782167image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.337728image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.837267image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.438313image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.063510image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:39.443657image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:42.476057image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.669339image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:47.470026image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:49.770675image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.874852image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.252676image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.550883image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.280557image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.767655image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.285393image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.812205image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.294400image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:03.926725image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.216752image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.860883image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.412826image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.917224image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.519041image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.140322image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:39.674551image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:42.665889image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.749031image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:47.589219image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:49.921595image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:51.951123image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.322600image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.618568image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.363084image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.845411image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.495858image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.888515image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.360862image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:04.080286image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.289528image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:30.928656image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.480652image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:33.991042image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.593251image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.207069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:39.828104image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:42.764296image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.823324image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:47.704092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:50.010430image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.020208image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.388690image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.677938image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.441250image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.913186image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.559692image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:00.961469image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.426552image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:04.182043image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:29.370068image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:31.005790image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:32.552368image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:34.069032image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:35.671241image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:37.280583image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:40.085256image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:42.864738image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:44.908717image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:47.826648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:50.124490image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:52.096140image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:53.457777image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:54.745333image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:56.521020image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:57.987461image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:05:59.631631image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:01.040578image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-10-03T18:06:02.505184image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-10-03T18:06:13.661571image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Alpha_AF7Alpha_AF8Alpha_TP10Alpha_TP9Beta_AF7Beta_AF8Beta_TP10Beta_TP9Delta_AF7Delta_AF8Delta_TP10Delta_TP9Gamma_AF7Gamma_AF8Gamma_TP10Gamma_TP9Theta_AF7Theta_AF8Theta_TP10Theta_TP9
Alpha_AF71.000-0.100-0.238-0.2950.879-0.189-0.372-0.3020.625-0.185-0.243-0.2410.909-0.175-0.365-0.2730.869-0.184-0.276-0.274
Alpha_AF8-0.1001.000-0.0930.404-0.2270.9070.2470.311-0.0600.9340.4600.207-0.2040.8940.2130.326-0.2530.9040.2490.340
Alpha_TP10-0.238-0.0931.0000.094-0.2930.0570.7710.274-0.0940.0180.5440.282-0.2640.0880.7680.269-0.3050.0340.7730.295
Alpha_TP9-0.2950.4040.0941.000-0.4800.3020.1940.870-0.4540.3550.1300.734-0.4220.3100.1750.895-0.4860.3400.1930.882
Beta_AF70.879-0.227-0.293-0.4801.000-0.274-0.336-0.4080.858-0.281-0.199-0.2810.981-0.274-0.313-0.4060.997-0.279-0.282-0.393
Beta_AF8-0.1890.9070.0570.302-0.2741.0000.3300.243-0.0330.9710.5990.135-0.2700.9870.2930.278-0.2980.9780.3330.283
Beta_TP10-0.3720.2470.7710.194-0.3360.3301.0000.439-0.0330.3010.8030.453-0.3220.3510.9920.402-0.3510.3010.9780.449
Beta_TP9-0.3020.3110.2740.870-0.4080.2430.4391.000-0.3190.2900.3000.946-0.3450.2920.4270.990-0.4080.2560.4150.991
Delta_AF70.625-0.060-0.094-0.4540.858-0.033-0.033-0.3191.000-0.0550.118-0.1610.803-0.039-0.013-0.3400.854-0.0760.015-0.299
Delta_AF8-0.1850.9340.0180.355-0.2810.9710.3010.290-0.0551.0000.5260.199-0.2660.9630.2690.316-0.3050.9820.3100.328
Delta_TP10-0.2430.4600.5440.130-0.1990.5990.8030.3000.1180.5261.0000.296-0.1760.6060.7840.287-0.2120.5410.7810.321
Delta_TP9-0.2410.2070.2820.734-0.2810.1350.4530.946-0.1610.1990.2961.000-0.2110.1890.4570.914-0.2780.1420.4240.926
Gamma_AF70.909-0.204-0.264-0.4220.981-0.270-0.322-0.3450.803-0.266-0.176-0.2111.000-0.262-0.300-0.3430.976-0.272-0.268-0.331
Gamma_AF8-0.1750.8940.0880.310-0.2740.9870.3510.292-0.0390.9630.6060.189-0.2621.0000.3080.318-0.2950.9550.3490.327
Gamma_TP10-0.3650.2130.7680.175-0.3130.2930.9920.427-0.0130.2690.7840.457-0.3000.3081.0000.389-0.3270.2680.9780.436
Gamma_TP9-0.2730.3260.2690.895-0.4060.2780.4020.990-0.3400.3160.2870.914-0.3430.3180.3891.000-0.4110.2950.3880.992
Theta_AF70.869-0.253-0.305-0.4860.997-0.298-0.351-0.4080.854-0.305-0.212-0.2780.976-0.295-0.327-0.4111.000-0.307-0.298-0.395
Theta_AF8-0.1840.9040.0340.340-0.2790.9780.3010.256-0.0760.9820.5410.142-0.2720.9550.2680.295-0.3071.0000.3100.295
Theta_TP10-0.2760.2490.7730.193-0.2820.3330.9780.4150.0150.3100.7810.424-0.2680.3490.9780.388-0.2980.3101.0000.434
Theta_TP9-0.2740.3400.2950.882-0.3930.2830.4490.991-0.2990.3280.3210.926-0.3310.3270.4360.992-0.3950.2950.4341.000

Missing values

2024-10-03T18:06:04.341993image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-03T18:06:04.846616image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10
03.0248973.1573302.8172714.1574841.9812852.2014481.8986853.1682052.0145552.2253001.8583043.0380121.5036581.7413921.5101592.6508660.924741.1072620.9280542.049317
13.0248973.1573302.8172714.1574841.9812852.2014481.8986853.1682052.0145552.2253001.8583043.0380121.5036581.7413921.5101592.6508660.924741.1072620.9280542.049317
23.0248973.1573302.8172714.1574841.9812852.2014481.8986853.1682052.0145552.2253001.8583043.0380121.5036581.7413921.5101592.6508660.924741.1072620.9280542.049317
33.0248973.2993672.8172714.1574841.9812852.8680601.8986853.1682052.0145553.2568111.8583043.0380121.5036582.3309181.5101592.6508660.924741.8293460.9280542.049317
43.0248973.2993672.8172714.1574841.9812852.8680601.8986853.1682052.0145553.2568111.8583043.0380121.5036582.3309181.5101592.6508660.924741.8293460.9280542.049317
53.0248973.2993672.8172714.1574841.9812852.8680601.8986853.1682052.0145553.2568111.8583043.0380121.5036582.3309181.5101592.6508660.924741.8293460.9280542.049317
63.0248973.2993672.8172714.1574841.9812852.8680601.8986853.1682052.0145553.2568111.8583043.0380121.5036582.3309181.5101592.6508660.924741.8293460.9280542.049317
73.0248973.2993672.8172714.1574841.9812852.8680601.8986853.1682052.0145553.2568111.8583043.0380121.5036582.3309181.5101592.6508660.924741.8293460.9280542.049317
83.0248973.2993672.8172714.1574841.9812852.8680601.8986853.1682052.0145553.2568111.8583043.0380121.5036582.3309181.5101592.6508660.924741.8293460.9280542.049317
93.0248973.2993672.8172714.1574841.9812852.8680601.8986853.1682052.0145553.2568111.8583043.0380121.5036582.3309181.5101592.6508660.924741.8293460.9280542.049317
Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10
5993.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.786361.623173.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046
6003.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.786361.623173.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046
6013.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.786361.623173.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046
6023.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.786361.623173.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046
6033.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.786361.623173.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046
6043.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.786361.623173.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046
6053.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.786361.623173.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046
6063.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.786361.623173.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046
6073.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.786361.623173.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046
6083.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.786361.623173.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046

Duplicate rows

Most frequently occurring

Delta_TP9Delta_AF7Delta_AF8Delta_TP10Theta_TP9Theta_AF7Theta_AF8Theta_TP10Alpha_TP9Alpha_AF7Alpha_AF8Alpha_TP10Beta_TP9Beta_AF7Beta_AF8Beta_TP10Gamma_TP9Gamma_AF7Gamma_AF8Gamma_TP10# duplicates
113.9184652.0524053.1631354.0362783.2016391.9761982.3070503.1252743.5350742.8301792.5067453.0618252.6709371.4452861.7648932.6087722.1471450.9646831.1278121.98210725
143.9755693.3897823.2236574.0151072.9655292.7057802.1856682.9697212.9442552.7241692.3054713.0017002.4665282.1651651.6961282.4816451.9063301.6451991.0872951.91769925
23.2892353.9484152.3444673.1188972.3579153.3629621.4555242.1994882.3943473.0362941.5848262.3043141.8523832.7434931.1551821.6901331.2785732.0280840.6248321.12846524
194.0548373.0489312.1840254.0547333.0597632.4476591.4434873.0272382.9487002.6797781.5751853.1545522.5588781.9187681.0902442.5798151.9714121.4104740.4139351.99960124
254.1789352.1199672.6537974.0458153.1808771.9824301.6876282.9884793.0690922.6362001.8901603.0377972.6861771.4404321.3666522.5036692.0944010.9731000.8865711.90834024
384.3226613.3891763.0432954.1516803.3597312.4681382.1013403.1839313.3094372.6853542.3183063.0421482.9554201.9602101.6122602.6936282.2932921.3892961.0524062.09581024
33.4077803.2865692.8020143.9521642.4247893.1333441.8383672.8827942.4747493.5743012.1128143.0068121.9623372.5791051.4164132.4247551.3361212.1055930.8138991.81509023
43.4284253.4611682.5950113.9434812.4819962.9826421.7838122.9766612.5613512.7863601.6231703.0257622.0049972.3535541.3303962.4706811.3707571.6326610.7515971.88046023
123.9450113.7079502.5818953.5913822.9840143.3258281.6301882.5713822.9273283.5628971.8556842.6216532.4552162.7722181.2417242.0689681.8896222.2924080.7696421.48536423
174.0350413.0393432.9283004.2895763.1190522.2688532.0070983.2120103.0306972.3623152.1745302.9992502.6134571.8078731.5560582.7490072.0130261.2125420.9561152.17089923